Results 31 to 40 of about 814,400 (277)

Can Computers Create Art?

, 2018
This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation.
Hertzmann, Aaron
core   +2 more sources

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

AI Researchers, Video Games Are Your Friends!

, 2016
If you are an artificial intelligence researcher, you should look to video games as ideal testbeds for the work you do. If you are a video game developer, you should look to AI for the technology that makes completely new types of games possible.
A Newell, A Samuel, AM Smith, AM Turing, C Browne, C Browne, C Pedersen, CS Lee, D Buss, D Loiacono, D Silver, GN Yannakakis, GN Yannakakis, J Ortega, J Togelius, J Togelius, JH Barkow, M Campbell, M Müller, M Newborn, R Arkin, R Brooks, RO Duda, S Karakovskiy, S Legg, S Nolfi, S Ontanón, TS Nielsen, V Mnih   +28 more
core   +1 more source

Human Mobility Datasets in the Complex Metro System of Shanghai

Scientific Data
The growing role of metro systems in urban mobility calls for high-quality metro transit datasets. Derived from over 700 million smart card records, an open-sourced, city-scale metro flow dataset was constructed, covering the period of May-August 2017 ...
Peiyan Sun, Jinming Yang, Zongyuan Huang, Shaoyu Huang, Shengyuan Xu, Weipeng Wang, Wenxuan Guo, Yuting Feng, Xi Zhai, Tao Yang, Xiaokang Yang, Yaohui Jin, Yanyan Xu   +12 more
doaj   +1 more source

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

FEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source

Designing Women: Essentializing Femininity in AI Linguistics [PDF]

, 2019
Since the eighties, feminists have considered technology a force capable of subverting sexism because of technology’s ability to produce unbiased logic.
Vega, Ellianie S.
core   +1 more source

The Future of Human-Artificial Intelligence Nexus and its Environmental Costs [PDF]

, 2020
The environmental costs and energy constraints have become emerging issues for the future development of Machine Learning (ML) and Artificial Intelligence (AI).
Spelda, Petr, Stritecky, Vit
core  

DialogueNeRF: towards realistic avatar face-to-face conversation video generation

Visual Intelligence
Conversation is an essential component of virtual avatar activities in the metaverse. With the development of natural language processing, significant breakthroughs have been made in text and voice conversation generation.
Yichao Yan, Zanwei Zhou, Zi Wang, Jingnan Gao, Xiaokang Yang   +4 more
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

LITP-GAN: Leaf image translation pipeline using DETR and GLA-Net considering the lesion area of plant disease

Journal of King Saud University: Computer and Information Sciences
Quick disease diagnosis is crucial in agriculture to reduce crop yield losses. Deep learning techniques have already been successfully applied to several tasks in agriculture, but it requires sufficient datasets. Obtaining sufficient plant disease images
Ri Zheng, Jimin Lee, Helin Yin, Dong Jin, Yeong Hyeon Gu   +4 more
doaj   +1 more source